Machine Learning Workshop/Hackathon
Eugene Francis Hall
UPRM, Mayaguez, Puerto Rico
Physics Department is organizing the very first Machine Learning Hackathon on 24-26 April, 2019. Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. While many machine learning algorithms have been around for a long time, the ability to automatically apply complex mathematical calculations to big data repeatedly and ever faster is a recent development. Learning these skill would make it possible to quickly and automatically produce models that can analyze bigger, more complex data and deliver faster, more accurate results. ML techniques encompasses all STEM fields. It is very essential that UPRM students learn these tools early on to make good careers in future. The agenda includes talks by UPRM researchers and faculties from Mathematics, Physics and CS&E departments. The topics will cover Statistics, ML techniques and used cases in UPRM research. The main guest will be Dr. Sergei Gleyzer, who is a physicist from University of Florida and expert and convener of ML group at CMS Experiment. The participants will be students from UPRM and will be given challenging problem to solve during Hackathon.
Registration is limited to 25 participants and deadline is 20 April, 2019
Alejandro Rodríguez
Alnaldo Zapata
Alvaro Javier Guerrero Laos
Angel Rosado
Brian Cruz
Christian Rosado
Cristian Rosado
Daniel Gutierrez
Diyaselis Delgado Lopez
Francisco Casiano
Genesis Susrez
Guillermo Antonio Fidalgo Rodriguez
Jairo Orozco Sandoval
Julian Cuevas
Leonel Aviles
Luis Cintron
Luis Domenech
Manuel Ferran
Marvin Geovani Santos Maldonado
Moises Garip
Moisés Barreiro
Pedro Santiago
Ricardo Gonzalez
Scarlet Rachel Norberg
Yarelis Acevedo